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CSDA
2007
264views more  CSDA 2007»
13 years 7 months ago
Model-based methods to identify multiple cluster structures in a data set
Model-based clustering exploits finite mixture models for detecting group in a data set. It provides a sound statistical framework which can address some important issues, such as...
Giuliano Galimberti, Gabriele Soffritti
DAM
2010
104views more  DAM 2010»
13 years 6 months ago
Sorting with networks of data structures
We consider the problem of sorting a permutation using a network of data structures as introduced by Knuth and Tarjan. In general the model as considered previously was restricted...
Therese C. Biedl, Alexander Golynski, Angèl...
SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
12 years 10 months ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham
AVI
2008
13 years 9 months ago
Realizing the hidden: interactive visualization and analysis of large volumes of structured data
An emerging trend in Web computing aims at collecting and integrating distributed data. For instance, community driven efforts recently have build ontological repositories made of...
Olaf Noppens, Thorsten Liebig
CIDR
2011
188views Algorithms» more  CIDR 2011»
12 years 11 months ago
Managing Structured Collections of Community Data
Data management is becoming increasingly social. We observe a new form of information in such collaborative scenarios, where users contribute and reuse information, which resides ...
Wolfgang Gatterbauer, Dan Suciu